MIRTFnet: Analysis of miRNA Regulated Transcription Factors
Author Information
Author(s): Naeem Haroon Küffner, Robert Zimmer, Kashanchi Fatah
Primary Institution: Institut für Informatik, Ludwig-Maximilians-Universität München, Germany
Hypothesis
Can MIRTFnet effectively identify miRNA controlled transcription factors as active regulators based on differential gene expression?
Conclusion
MIRTFnet reliably detects active transcription factors that are influenced by miRNAs, showing their involvement in cancer-related processes.
Supporting Evidence
- MIRTFnet detected active regulators in 42 out of 43 miRNA transfection experiments.
- The Wilcoxon test identified 98% of transfecting miRNAs as active.
- 86 transcription factors were identified as active using the Wilcoxon test.
- Models constructed showed substantial overlaps in active transcription factors across different miRNA experiments.
Takeaway
This study created a tool called MIRTFnet that helps find which proteins are controlled by tiny RNA molecules in cancer cells, showing how they work together.
Methodology
The study analyzed 43 gene expression profiles from miRNA transfection experiments to identify active transcription factors using statistical tests.
Potential Biases
Potential bias due to reliance on computational predictions and existing literature for target gene associations.
Limitations
The method relies on existing databases and predictions for miRNA-target relationships, which may introduce inaccuracies.
Participant Demographics
Human cell lines were used in the miRNA transfection experiments.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website